Sort by
Refine Your Search
-
Country
-
Employer
- Duke University
- Stanford University
- University of Oxford
- University of Miami
- University of North Carolina at Chapel Hill
- Delft University of Technology (TU Delft)
- Loyola University
- NEW YORK UNIVERSITY ABU DHABI
- University of Minnesota
- University of Sydney
- Yale University
- Argonne
- Brookhaven National Laboratory
- Cornell University
- EPFL
- National Aeronautics and Space Administration (NASA)
- New York University
- Oak Ridge National Laboratory
- Rutgers University
- Technical University of Munich
- University of California, Los Angeles
- University of Texas at Arlington
- Baylor College of Medicine
- FAPESP - São Paulo Research Foundation
- Lawrence Berkeley National Laboratory
- National Energy Technology Laboratory (NETL)
- Queen Mary University of London
- SciLifeLab
- Texas A&M University
- The Ohio State University
- University of Florida
- University of Washington
- Aalborg University
- Baylor College of Medicine (BCM)
- Carnegie Mellon University
- Durham University
- Eindhoven University of Technology (TU/e)
- European Space Agency
- Human Technopole
- Inria, the French national research institute for the digital sciences
- KTH Royal Institute of Technology
- Northeastern University
- Queen Mary University of London;
- SUNY University at Buffalo
- THE UNIVERSITY OF HONG KONG
- Texas A&M AgriLife
- UNIVERSITY OF HELSINKI
- UNIVERSITY OF SYDNEY
- University College Cork
- University of California Irvine
- University of Connecticut
- University of Denver
- University of Manchester
- University of Maryland, Baltimore
- University of North Texas at Dallas
- University of Oregon
- University of Oslo
- Utrecht University
- Wageningen University & Research
- CNRS
- Computer Vision Center
- Deutsches Institut für Ernährungsforschung Potsdam-Rehbrücke
- Forschungszentrum Jülich
- Fraunhofer-Gesellschaft
- Fundació per a la Universitat Oberta de Catalunya
- Harvard University
- Heidelberg University
- Helmholtz Association of German Research Centres
- Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt
- ICN2
- INSERM
- Indiana University
- Institut Pasteur
- Institut d’Investigació Biomèdica de Girona Dr. Josep Trueta (IDIBGI-CERCA)
- Itä-Suomen yliopisto
- KU LEUVEN
- Karolinska Institutet (KI)
- King's College London
- LIGO Laboratory
- Leiden University
- Luleå University of Technology
- MOHAMED BIN ZAYED UNIVERSITY OF ARTIFICIAL INTELLIGENCE
- Max Planck Institute of Molecular Cell Biology and Genetics, Dresden
- McGill University
- Michigan State University
- Mohamed bin Zayed University of Artificial Intelligence
- Northwestern University
- Norwegian University of Life Sciences (NMBU)
- Pennsylvania State University
- RIKEN
- Rochester Institute of Technology
- Saint Louis University
- Singapore-MIT Alliance for Research and Technology
- The University of Arizona
- The University of Iowa
- The University of South Dakota
- Télécom Paris
- Umeå University
- Universiteit Leiden
- University of Colorado
- 90 more »
- « less
-
Field
-
. Experience applying computer vision, image analysis, and/or machine-learning methods to microscopy or materials characterization data. Demonstrated ability to analyze microstructural data and relate
-
Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 2 months ago
microelectronics, optical systems and lasers, ultrasound or sensor technologies, precision instrumentation, mechanical design and Computer-Aided Design (CAD), biomedical imaging systems. Programming experience in
-
the lab to real-life applications, improving lives. The Institute of Biological and Medical Imaging (IBMI) at Helmholtz Munich and the Chair of Biological Imaging (CBI) at the Technical University of Munich
-
following areas is desirable: collection and analysis of dense nodal seismic datasets, ambient noise tomography, high-performance computing, machine learning applications in observational seismology, and
-
. Desirable experience in AI-assisted image analysis, machine learning, computational modelling, or building predictive models from biological imaging or cell–material interaction datasets. Strong experience in
-
Cognitive Science, Medical Informatics, or a comparable quantitative discipline Proven hands-on experience working with LLMs, foundation models, multimodal AI systems, or related machine-learning technologies
-
slide imaging analysis in computational pathology is essential. Applicants should have a solid publication record and demonstrated experience in computer vision or analysis of pathology images
-
As a postdoctoral researcher, your primary responsibilities will be: Develop machine learning and deep learning models, with a strong focus on computer vision, for the characterisation and
-
and economy that respect people and their environment. We are looking for our next postdoctoral researcher in computer graphics and machine learning to join the Image, Data and Signal (IDS) department
-
via protein and RNA analysis including histology, immunohistochemistry, cell culture, cellular assays, RT-PCR, Western blot analysis, ELIspot and cellular imaging. Scientist will help use the data